PhD opportunities

SUBJECT OF THESIS PROVIDED - MACHINE LEARNING OF PHYSICAL REDUCED ORDER MODELS FOR FAST LIFETIME COMPUTATION OF TURBINE BLADES WITH UNCERTAINTY QUANTIFICATION

Thesis proposal

Area of expertiseMechanics
Doctoral SchoolSMI - Sciences des Mtiers de l'Ingnieur
SupervisorM. David RYCKELYNCK
Research unitCentre of materials
ContactRYCKELINCK David
http://www.mat.mines-paristech.fr/Recrutements/Theses/
KeywordsMachine learning, Data science, Reduced basis approximation, plasticity, contact, multiphysics
AbstractThe Centre des Materiaux located at present in Evry (35km south of Paris) is a laboratory associated with the CNRS, employing around 200 people including 30 researchers, 50 ITA, 85 PhD students and 11 Post-Doctoral researchers.
Research concerns materials processing and surface modification, the
microstructural characterization and experimental study of the behaviour of
materials. These studies are carried out in close contractual collaboration with industrial partners.

Safran Group is a leader in the design, manufacturing and maintenance of aircraft engines and equipment. As in the vast majority of industrial domains, the numerical simulation is a tool used in many stages of Safran's activities. The complexity of the models leads to computation times of several hours (or even days) for a single run, although optimization and uncertainty quantifications require many runs: new strategies must be derived.

In this thesis, we are interested in the lifetime computation of high-pressure turbine blades. The computation chain contains a coupled aerothermal fluid-solid computation and an ElastoViscoPlastic (EVP) cyclic computation of which the lifetime computation is a post-treatment.
ProfileEngineer and / or Master of Science - Good level of general and scientific culture. Good level of knowledge of French (B2 level in french is required) and English. (B2 level in english is required) Good analytical, synthesis, innovation and communication skills. Qualities of adaptability and creativity. Teaching skills. Motivation for research activity. Coherent professional project.

Applicants should supply the following :

- a detailed resume
- a covering letter explaining the applicants motivation for the position
- detailed exam results
- two references : the name and contact details of at least two people who could be contacted to provide an appreciation of the candidate

to be sent to recrutement_these@mat.mines-paristech.fr
FundingConvention CIFRE